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Tanya Y. Berger-Wolf
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- affiliation: University of Illinois at Chicago, Department of Computer Science, IL, USA
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2020 – today
- 2024
- [c69]Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su:
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs. CIKM 2024: 1825-1835 - [c68]Samuel Stevens, Jiaman Wu, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M. Dahdul, Charles V. Stewart, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su:
BioCLIP: A Vision Foundation Model for the Tree of Life. CVPR 2024: 19412-19424 - [c67]Mridul Khurana, Arka Daw, M. Maruf, Josef C. Uyeda, Wasila M. Dahdul, Caleb Charpentier, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Anuj Karpatne:
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution. ECCV (89) 2024: 137-153 - [c66]Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Edward Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao:
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. ICLR 2024 - [c65]Tanya Y. Berger-Wolf:
AI for Nature: From Science to Impact. KDD 2024: 2 - [c64]Maksim Kholiavchenko, Jenna Kline, Michelle Ramirez, Samuel Stevens, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Isla Duporge, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart:
KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos. WACV (Workshops) 2024: 31-40 - [i42]Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su:
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. CoRR abs/2401.00608 (2024) - [i41]Kenya S. Andrews, Mesrob I. Ohannessian, Tanya Y. Berger-Wolf:
Modeling Access Differences to Reduce Disparity in Resource Allocation. CoRR abs/2402.00083 (2024) - [i40]Isla Duporge, Maksim Kholiavchenko, Roi Harel, Scott Wolf, Daniel I. Rubenstein, Meg Crofoot, Tanya Y. Berger-Wolf, Stephen Lee, Julie Barreau, Jenna Kline, Michelle Ramirez, Charles V. Stewart:
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos. CoRR abs/2405.17698 (2024) - [i39]Jenna Kline, Maksim Kholiavchenko, Otto Brookes, Tanya Y. Berger-Wolf, Charles V. Stewart, Christopher Stewart:
Integrating Biological Data into Autonomous Remote Sensing Systems for In Situ Imageomics: A Case Study for Kenyan Animal Behavior Sensing with Unmanned Aerial Vehicles (UAVs). CoRR abs/2407.16864 (2024) - [i38]Mridul Khurana, Arka Daw, M. Maruf, Josef C. Uyeda, Wasila M. Dahdul, Caleb Charpentier, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Anuj Karpatne:
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution. CoRR abs/2408.00160 (2024) - [i37]M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Harish Babu Manogaran, Abhilash Neog, Medha Sawhney, Mridul Khurana, James P. Balhoff, Yasin Bakis, Bahadir Altintas, Matthew J. Thompson, Elizabeth G. Campolongo, Josef C. Uyeda, Hilmar Lapp, Henry L. Bart Jr., Paula M. Mabee, Yu Su, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Wasila M. Dahdul, Anuj Karpatne:
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images. CoRR abs/2408.16176 (2024) - [i36]Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Fine-Tuning is Fine, if Calibrated. CoRR abs/2409.16223 (2024) - [i35]Avirath Sundaresan, Jason R. Parham, Jonathan Crall, Rosemary Warungu, Timothy Muthami, Margaret Mwangi, Jackson Miliko, Jason Holmberg, Tanya Y. Berger-Wolf, Daniel Rubenstein, Charles V. Stewart, Sara Beery:
Adapting the re-ID challenge for static sensors. CoRR abs/2412.00290 (2024) - 2023
- [j24]Abolfazl Asudeh, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Anastasios Sidiropoulos:
Maximizing Coverage While Ensuring Fairness: A Tale of Conflicting Objectives. Algorithmica 85(5): 1287-1331 (2023) - [c63]Jenna Kline, Christopher Stewart, Tanya Y. Berger-Wolf, Michelle Ramirez, Samuel Stevens, Reshma Ramesh Babu, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Elizabeth G. Campolongo, Matthew Thompson, Charles V. Stewart, Maksim Kholiavchenko, Daniel I. Rubenstein, Nina Van Tiel, Jackson Miliko:
A Framework for Autonomic Computing for In Situ Imageomics. ACSOS 2023: 11-16 - [c62]Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne:
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. KDD 2023: 3966-3978 - [c61]Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. NeurIPS 2023 - [i34]Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne:
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. CoRR abs/2306.03228 (2023) - [i33]Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe:
Reflections from the Workshop on AI-Assisted Decision Making for Conservation. CoRR abs/2307.08774 (2023) - [i32]Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao:
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. CoRR abs/2311.01420 (2023) - [i31]Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao:
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. CoRR abs/2311.04157 (2023) - [i30]Samuel Stevens, Jiaman Wu, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M. Dahdul, Charles V. Stewart, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su:
BIOCLIP: A Vision Foundation Model for the Tree of Life. CoRR abs/2311.18803 (2023) - 2022
- [c60]Kenya S. Andrews, Mesrob I. Ohannessian, Tanya Y. Berger-Wolf:
Modeling Access Differences to Reduce Disparity in Resource Allocation. EAAMO 2022: 17:1-17:11 - 2021
- [j23]Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis. ACM Trans. Knowl. Discov. Data 15(4): 67:1-67:30 (2021) - [c59]Shishir Adhikari, Akshay Uppal, Robin Mermelstein, Tanya Y. Berger-Wolf, Elena Zheleva:
Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions. ICWSM 2021: 14-25 - [i29]Lea A. Shanley, Lucy Fortson, Tanya Y. Berger-Wolf, Kevin Crowston, Pietro Michelucci:
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. CoRR abs/2104.00093 (2021) - [i28]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Framework for Inferring Leadership Dynamics of Complex Movement from Time Series. CoRR abs/2104.02291 (2021) - [i27]Charles V. Stewart, Jason Remington Parham, Jason Holmberg, Tanya Y. Berger-Wolf:
The Animal ID Problem: Continual Curation. CoRR abs/2106.10377 (2021) - [i26]Shishir Adhikari, Akshay Uppal, Robin Mermelstein, Tanya Y. Berger-Wolf, Elena Zheleva:
Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions. CoRR abs/2106.11029 (2021) - [i25]Moniba Keymanesh, Tanya Y. Berger-Wolf, Micha Elsner, Srinivasan Parthasarathy:
Fairness-aware Summarization for Justified Decision-Making. CoRR abs/2107.06243 (2021) - [i24]Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant Van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Y. Berger-Wolf:
Seeing biodiversity: perspectives in machine learning for wildlife conservation. CoRR abs/2110.12951 (2021) - 2020
- [j22]Jessica Leoni, Mara Tanelli, Silvia Carla Strada, Tanya Y. Berger-Wolf:
Ethogram-based automatic wild animal monitoring through inertial sensors and GPS data. Ecol. Informatics 59: 101112 (2020) - [j21]Tanya Y. Berger-Wolf, Ben Carterette, Tamer Elsayed, C. Maria Keet, Fabrizio Sebastiani, Hussein Suleman:
Report on the 2nd ACM SIGIR/SIGKDD Africa school on machine learning for data mining and search. SIGIR Forum 54(1): 4:1-4:6 (2020) - [j20]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Framework for Inferring Following Strategies from Time Series of Movement Data. ACM Trans. Knowl. Discov. Data 14(3): 35:1-35:22 (2020) - [c58]Jessica Leoni, Mara Tanelli, Silvia Carla Strada, Tanya Y. Berger-Wolf:
Data-Driven Collaborative Intelligent System for Automatic Activities Monitoring of Wild Animals. ICHMS 2020: 1-6 - [i23]Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis. CoRR abs/2002.00208 (2020) - [i22]Ivan Brugere, Tanya Y. Berger-Wolf:
Inferring Network Structure From Data. CoRR abs/2004.02046 (2020) - [i21]Ivan Brugere, Tanya Y. Berger-Wolf:
Privacy Shadow: Measuring Node Predictability and Privacy Over Time. CoRR abs/2004.02047 (2020) - [i20]Abolfazl Asudeh, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Anastasios Sidiropoulos:
Maximizing coverage while ensuring fairness: a tale of conflicting objective. CoRR abs/2007.08069 (2020) - [i19]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Mining and modeling complex leadership-followership dynamics of movement data. CoRR abs/2010.01587 (2020)
2010 – 2019
- 2019
- [j19]Aynaz Taheri, Kevin Gimpel, Tanya Y. Berger-Wolf:
Sequence-to-sequence modeling for graph representation learning. Appl. Netw. Sci. 4(1): 68:1-68:26 (2019) - [j18]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Mining and modeling complex leadership-followership dynamics of movement data. Soc. Netw. Anal. Min. 9(1): 58:1-58:17 (2019) - [c57]Aynaz Taheri, Tanya Y. Berger-Wolf:
Predictive temporal embedding of dynamic graphs. ASONAM 2019: 57-64 - [c56]Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-Lag Granger Causality for Time Series Analysis. DSAA 2019: 21-30 - [c55]Silvia Zuffi, Angjoo Kanazawa, Tanya Y. Berger-Wolf, Michael J. Black:
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images "In the Wild". ICCV 2019: 5358-5367 - [c54]Jillian Aurisano, James Hwang, Andrew E. Johnson, Lance Long, Margaret Crofoot, Tanya Y. Berger-Wolf:
Bringing the Field into the Lab: Large-Scale Visualization of Animal Movement Trajectories within a Virtual Island. LDAV 2019: 83-84 - [c53]Aynaz Taheri, Kevin Gimpel, Tanya Y. Berger-Wolf:
Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models. WWW (Companion Volume) 2019: 301-307 - [p2]Chainarong Amornbunchornvej, Margaret C. Crofoot, Tanya Y. Berger-Wolf:
Traits of Leaders in Movement Initiation: Classification and Identification. Influence and Behavior Analysis in Social Networks and Social Media 2019: 39-62 - [e1]Tanya Y. Berger-Wolf, Nitesh V. Chawla:
Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019, Calgary, Alberta, Canada, May 2-4, 2019. SIAM 2019, ISBN 978-1-61197-567-3 [contents] - [i18]Guido Muscioni, Riccardo Pressiani, Matteo Foglio, Margaret C. Crofoot, Marco D. Santambrogio, Tanya Y. Berger-Wolf:
A Framework For Identifying Group Behavior Of Wild Animals. CoRR abs/1907.00932 (2019) - [i17]Matteo Foglio, Lorenzo Semeria, Guido Muscioni, Riccardo Pressiani, Tanya Y. Berger-Wolf:
Animal Wildlife Population Estimation Using Social Media Images Collections. CoRR abs/1908.01875 (2019) - [i16]Silvia Zuffi, Angjoo Kanazawa, Tanya Y. Berger-Wolf, Michael J. Black:
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild". CoRR abs/1908.07201 (2019) - [i15]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Inferring Coordination Strategies from Time Series of Movement Data. CoRR abs/1911.01366 (2019) - [i14]Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf:
Variable-lag Granger Causality for Time Series Analysis. CoRR abs/1912.10829 (2019) - 2018
- [j17]Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf:
Network Structure Inference, A Survey: Motivations, Methods, and Applications. ACM Comput. Surv. 51(2): 24:1-24:39 (2018) - [j16]Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf:
Coordination Event Detection and Initiator Identification in Time Series Data. ACM Trans. Knowl. Discov. Data 12(5): 53:1-53:33 (2018) - [c52]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Mining and Modeling Complex Leadership Dynamics of Movement data. ASONAM 2018: 447-454 - [c51]Jia Li, Brian D. Ziebart, Tanya Y. Berger-Wolf:
A Game-Theoretic Adversarial Approach to Dynamic Network Prediction. PAKDD (3) 2018: 677-688 - [c50]Eleonora D'Arnese, Emanuele Del Sozzo, Arturo Chiti, Tanya Y. Berger-Wolf, Marco D. Santambrogio:
Automating Lung Cancer Identification in PET/CT Imaging. RTSI 2018: 1-6 - [c49]Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Framework for Inferring Leadership Dynamics of Complex Movement from Time Series. SDM 2018: 549-557 - [c48]Tanya Y. Berger-Wolf, Boris Igic, Cynthia Bagier Taylor, Robert H. Sloan, Rachel Poretsky:
A Biology-themed Introductory CS Course at a Large, Diverse Public University. SIGCSE 2018: 233-238 - [c47]Jason Parham, Charles V. Stewart, Jonathan P. Crall, Daniel I. Rubenstein, Jason Holmberg, Tanya Y. Berger-Wolf:
An Animal Detection Pipeline for Identification. WACV 2018: 1075-1083 - [c46]Ivan Brugere, Tanya Y. Berger-Wolf:
Network Model Selection Using Task-Focused Minimum Description Length. WWW (Companion Volume) 2018: 961-968 - 2017
- [c45]Jason Remington Parham, Jonathan P. Crall, Charles V. Stewart, Tanya Y. Berger-Wolf, Daniel I. Rubenstein:
Animal Population Censusing at Scale with Citizen Science and Photographic Identification. AAAI Spring Symposia 2017 - [c44]Chainarong Amornbunchornvej, Margaret C. Crofoot, Tanya Y. Berger-Wolf:
Identifying Traits of Leaders in Movement Initiation. ASONAM 2017: 660-667 - [c43]Andrea Purgato, Marco D. Santambrogio, Tanya Y. Berger-Wolf, Angus Graeme Forbes:
Interactive visualization for brain spatio-temporal networks. BHI 2017: 21-24 - [c42]Andrea Purgato, Enrico Reggiani, Eleonora D'Arnese, Tanya Y. Berger-Wolf, Marco Grimaldi, Gianluca Durelli, Marco D. Santambrogio:
GPU-based computation for brain spatio-temporal networks definition. EMBC 2017: 1493-1496 - [c41]Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf:
Network Model Selection for Task-Focused Attributed Network Inference. ICDM Workshops 2017: 118-125 - [i13]Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf:
A General Framework For Task-Oriented Network Inference. CoRR abs/1705.00645 (2017) - [i12]Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf:
Evaluating Social Networks Using Task-Focused Network Inference. CoRR abs/1707.02385 (2017) - [i11]Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf:
Network Model Selection for Task-Focused Attributed Network Inference. CoRR abs/1708.06303 (2017) - [i10]Ivan Brugere, Tanya Y. Berger-Wolf:
Network Model Selection Using Task-Focused Minimum Description Length. CoRR abs/1710.05207 (2017) - [i9]Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Sreejith Menon, Jonathan P. Crall, Jon Van Oast, Emre Kiciman, Lucas Joppa:
Wildbook: Crowdsourcing, computer vision, and data science for conservation. CoRR abs/1710.08880 (2017) - 2016
- [j15]Marco Maggioni, Tanya Y. Berger-Wolf:
Optimization techniques for sparse matrix-vector multiplication on GPUs. J. Parallel Distributed Comput. 93-94: 66-86 (2016) - [c40]Chihua Ma, Angus Graeme Forbes, Daniel A. Llano, Tanya Y. Berger-Wolf, Robert V. Kenyon:
SwordPlots: Exploring Neuron Behavior within Dynamic Communities of Brain Networks. HVEI 2016: 1-13 - [c39]Jia Li, Kaiser Asif, Hong Wang, Brian D. Ziebart, Tanya Y. Berger-Wolf:
Adversarial Sequence Tagging. IJCAI 2016: 1690-1696 - [i8]Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf:
FLICA: A Framework for Leader Identification in Coordinated Activity. CoRR abs/1603.01570 (2016) - [i7]Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf:
Network Structure Inference, A Survey: Motivations, Methods, and Applications. CoRR abs/1610.00782 (2016) - 2015
- [j14]Chun-An Chou, Zhe Liang, Wanpracha Art Chaovalitwongse, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Saad I. Sheikh, Mary V. Ashley, Isabel C. Caballero:
Column-Generation Framework of Nonlinear Similarity Model for Reconstructing Sibling Groups. INFORMS J. Comput. 27(1): 35-47 (2015) - [c38]Katharina Morik, Hugh F. Durrant-Whyte, Gary C. Hill, Dietmar Müller, Tanya Y. Berger-Wolf:
Data Driven Science: SIGKDD Panel. KDD 2015: 2329-2330 - [c37]Chihua Ma, Robert V. Kenyon, Angus Graeme Forbes, Tanya Y. Berger-Wolf, Bernard J. Slater, Daniel A. Llano:
Visualizing Dynamic Brain Networks Using an Animated Dual-Representation. EuroVis (Short Papers) 2015: 73-77 - 2014
- [j13]Arun S. Maiya, Tanya Y. Berger-Wolf:
Expansion and decentralized search in complex networks. Knowl. Inf. Syst. 38(2): 469-490 (2014) - [c36]Fatemeh Vafaee, György Turán, Peter C. Nelson, Tanya Y. Berger-Wolf:
Balancing the exploration and exploitation in an adaptive diversity guided genetic algorithm. IEEE Congress on Evolutionary Computation 2014: 2570-2577 - [c35]Fatemeh Vafaee, György Turán, Peter C. Nelson, Tanya Y. Berger-Wolf:
Among-site rate variation: adaptation of genetic algorithm mutation rates at each single site. GECCO 2014: 863-870 - [c34]Marco Maggioni, Tanya Y. Berger-Wolf:
CoAdELL: Adaptivity and Compression for Improving Sparse Matrix-Vector Multiplication on GPUs. IPDPS Workshops 2014: 933-940 - 2013
- [j12]Tanya Y. Berger-Wolf, Tamás Horváth:
Guest editors' foreword: special section on local pattern mining in graph-structured data. Ann. Math. Artif. Intell. 69(4): 313-314 (2013) - [c33]Marco Maggioni, Tanya Y. Berger-Wolf:
An Architecture-Aware Technique for Optimizing Sparse Matrix-Vector Multiplication on GPUs. ICCS 2013: 329-338 - [c32]Marco Maggioni, Tanya Y. Berger-Wolf:
AdELL: An Adaptive Warp-Balancing ELL Format for Efficient Sparse Matrix-Vector Multiplication on GPUs. ICPP 2013: 11-20 - [c31]Marco Maggioni, Tanya Y. Berger-Wolf, Jie Liang:
GPU-Based Steady-State Solution of the Chemical Master Equation. IPDPS Workshops 2013: 579-588 - [c30]Tanya Y. Berger-Wolf:
Computational Behavioral Ecology. ISBRA 2013: 3 - [c29]Jonathan P. Crall, Charles V. Stewart, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Siva R. Sundaresan:
HotSpotter - Patterned species instance recognition. WACV 2013: 230-237 - 2012
- [j11]Chun-An Chou, Wanpracha Art Chaovalitwongse, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Mary V. Ashley:
Capacitated clustering problem in computational biology: Combinatorial and statistical approach for sibling reconstruction. Comput. Oper. Res. 39(3): 609-619 (2012) - [j10]Fahad Saeed, Alan Perez-Rathke, Jaroslaw Gwarnicki, Tanya Y. Berger-Wolf, Ashfaq A. Khokhar:
A high performance multiple sequence alignment system for pyrosequencing reads from multiple reference genomes. J. Parallel Distributed Comput. 72(1): 83-93 (2012) - [c28]Daehan Won, Chun-An Chou, Wanpracha Art Chaovalitwongse, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Ashfaq A. Khokhar, Marco Maggioni, Saad I. Sheikh, Mary V. Ashley, Jason Palagi:
An integrated optimization framework for inferring two generation kinships and parental genotypes from microsatellite samples. BCB 2012: 392-399 - [c27]Tanya Y. Berger-Wolf:
Invited: Computational behavioral ecology. ICCABS 2012: 1 - 2011
- [j9]Khairi Reda, Chayant Tantipathananandh, Andrew E. Johnson, Jason Leigh, Tanya Y. Berger-Wolf:
Visualizing the Evolution of Community Structures in Dynamic Social Networks. Comput. Graph. Forum 30(3): 1061-1070 (2011) - [c26]Rajmonda Sulo Caceres, Tanya Y. Berger-Wolf, Robert Grossman:
Temporal Scale of Processes in Dynamic Networks. ICDM Workshops 2011: 925-932 - [c25]Habiba, Tanya Y. Berger-Wolf:
Working for Influence: Effect of Network Density and Modularity on Diffusion in Networks. ICDM Workshops 2011: 933-940 - [c24]Chayant Tantipathananandh, Tanya Y. Berger-Wolf:
Finding Communities in Dynamic Social Networks. ICDM 2011: 1236-1241 - [c23]Arun S. Maiya, Tanya Y. Berger-Wolf:
Benefits of bias: towards better characterization of network sampling. KDD 2011: 105-113 - [c22]Mayank Lahiri, Chayant Tantipathananandh, Rosemary Warungu, Daniel I. Rubenstein, Tanya Y. Berger-Wolf:
Biometric animal databases from field photographs: identification of individual zebra in the wild. ICMR 2011: 6 - [i6]Mary V. Ashley, Tanya Y. Berger-Wolf, Piotr Berman, Wanpracha Art Chaovalitwongse, Bhaskar DasGupta, Ming-Yang Kao:
On Approximating Four Covering and Packing Problems. CoRR abs/1102.1006 (2011) - [i5]Mary V. Ashley, Tanya Y. Berger-Wolf, Wanpracha Art Chaovalitwongse, Bhaskar DasGupta, Ashfaq A. Khokhar, Saad I. Sheikh:
An Implicit Cover Problem in Wild Population Study. CoRR abs/1102.5471 (2011) - [i4]Arun S. Maiya, Tanya Y. Berger-Wolf:
Benefits of Bias: Towards Better Characterization of Network Sampling. CoRR abs/1109.3911 (2011) - 2010
- [j8]Mary V. Ashley, Tanya Y. Berger-Wolf, Wanpracha Art Chaovalitwongse, Bhaskar DasGupta, Ashfaq A. Khokhar, Saad I. Sheikh:
An Implicit Cover Problem in wild Population Study. Discret. Math. Algorithms Appl. 2(1): 21-32 (2010) - [j7]Wanpracha Art Chaovalitwongse, Chun-An Chou, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Saad I. Sheikh, Mary V. Ashley, Isabel C. Caballero:
New Optimization Model and Algorithm for Sibling Reconstruction from Genetic Markers. INFORMS J. Comput. 22(2): 180-194 (2010) - [j6]Saad I. Sheikh, Tanya Y. Berger-Wolf, Ashfaq A. Khokhar, Isabel C. Caballero, Mary V. Ashley, Wanpracha Art Chaovalitwongse, Chun-An Chou, Bhaskar DasGupta:
Combinatorial Reconstruction of Half-Sibling Groups from Microsatellite Data. J. Bioinform. Comput. Biol. 8(2): 337-356 (2010) - [j5]Mayank Lahiri, Tanya Y. Berger-Wolf:
Periodic subgraph mining in dynamic networks. Knowl. Inf. Syst. 24(3): 467-497 (2010) - [c21]Arun S. Maiya, Tanya Y. Berger-Wolf:
Expansion and search in networks. CIKM 2010: 239-248 - [c20]Saad I. Sheikh, Ashfaq A. Khokhar, Tanya Y. Berger-Wolf:
Efficient and scalable parallel reconstruction of sibling relationships from genetic data in wild populations. IPDPS Workshops 2010: 1-8 - [c19]Rajmonda Sulo Caceres, Tanya Y. Berger-Wolf, Robert Grossman:
Meaningful selection of temporal resolution for dynamic networks. MLG@KDD 2010: 127-136 - [c18]Arun S. Maiya, Tanya Y. Berger-Wolf:
Online Sampling of High Centrality Individuals in Social Networks. PAKDD (1) 2010: 91-98 - [c17]Tanya Y. Berger-Wolf:
Finding Structure in Dynamic Networks (and What It Means for Zebras). NyNaK 2010 - [c16]Tanya Y. Berger-Wolf, Teresa M. Przytycka, Mona Singh, Donna K. Slonim:
Session Introduction. Pacific Symposium on Biocomputing 2010: 120-122 - [c15]Daniel G. Brown, Tanya Y. Berger-Wolf:
Discovering Kinship through Small Subsets. WABI 2010: 111-123 - [c14]Arun S. Maiya, Tanya Y. Berger-Wolf:
Sampling community structure. WWW 2010: 701-710 - [p1]Tanya Y. Berger-Wolf, Chayant Tantipathananandh, David Kempe:
Dynamic Community Identification. Link Mining 2010: 307-336 - [i3]Arun S. Maiya, Tanya Y. Berger-Wolf:
Expansion and Search in Networks. CoRR abs/1009.4383 (2010)
2000 – 2009
- 2009
- [j4]Mary V. Ashley, Tanya Y. Berger-Wolf, Piotr Berman, Wanpracha Art Chaovalitwongse, Bhaskar DasGupta, Ming-Yang Kao:
On approximating four covering and packing problems. J. Comput. Syst. Sci. 75(5): 287-302 (2009) - [c13]Mary V. Ashley, Tanya Y. Berger-Wolf, Wanpracha Art Chaovalitwongse, Bhaskar DasGupta, Ashfaq A. Khokhar, Saad I. Sheikh:
On Approximating an Implicit Cover Problem in Biology. AAIM 2009: 43-54 - [c12]Arun S. Maiya, Tanya Y. Berger-Wolf:
Inferring the Maximum Likelihood Hierarchy in Social Networks. CSE (4) 2009: 245-250 - [c11]Chayant Tantipathananandh, Tanya Y. Berger-Wolf:
Constant-factor approximation algorithms for identifying dynamic communities. KDD 2009: 827-836 - [c10]Tanya Y. Berger-Wolf, Teresa M. Przytycka, Mona Singh:
Session Introduction. Pacific Symposium on Biocomputing 2009: 174-177 - 2008
- [c9]Mayank Lahiri, Tanya Y. Berger-Wolf:
Mining Periodic Behavior in Dynamic Social Networks. ICDM 2008: 373-382 - [c8]Mayank Lahiri, Arun S. Maiya, Rajmonda Sulo Caceres, Habiba, Tanya Y. Berger-Wolf:
The Impact of Structural Changes on Predictions of Diffusion in Networks. ICDM Workshops 2008: 939-948 - [c7]Habiba, Yintao Yu, Tanya Y. Berger-Wolf, Jared Saia:
Finding Spread Blockers in Dynamic Networks. SNAKDD 2008: 55-76 - 2007
- [j3]W. Art Chaovalitwongse, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Mary V. Ashley:
Set covering approach for reconstruction of sibling relationships. Optim. Methods Softw. 22(1): 11-24 (2007) - [c6]Mayank Lahiri, Tanya Y. Berger-Wolf:
Structure Prediction in Temporal Networks using Frequent Subgraphs. CIDM 2007: 35-42 - [c5]Tanya Y. Berger-Wolf, Saad I. Sheikh, Bhaskar DasGupta, Mary V. Ashley, Isabel C. Caballero, Wanpracha Art Chaovalitwongse, Satya Lahari Putrevu:
Reconstructing sibling relationships in wild populations. ISMB/ECCB (Supplement of Bioinformatics) 2007: 49-56 - [c4]Chayant Tantipathananandh, Tanya Y. Berger-Wolf, David Kempe:
A framework for community identification in dynamic social networks. KDD 2007: 717-726 - 2006
- [c3]Tanya Y. Berger-Wolf, Jared Saia:
A framework for analysis of dynamic social networks. KDD 2006: 523-528 - 2005
- [j2]Tanya Y. Berger-Wolf, William E. Hart, Jared Saia:
Discrete sensor placement problems in distribution networks. Math. Comput. Model. 42(13): 1385-1396 (2005) - 2004
- [c2]Tanya Y. Berger-Wolf:
Online Consensus and Agreement of Phylogenetic Trees. WABI 2004: 350-361 - 2003
- [i2]Tanya Y. Berger-Wolf, Mitchell A. Harris:
Sharp Bounds for Bandwidth of Clique Products. CoRR cs.DM/0305051 (2003) - 2002
- [b1]Tanya Y. Berger-Wolf:
Multichannel Communication and Graph Vertex Labeling Problems. University of Illinois Urbana-Champaign, USA, 2002 - [j1]Tanya Y. Berger-Wolf, Edward M. Reingold:
Index assignment for multichannel communication under failure. IEEE Trans. Inf. Theory 48(10): 2656-2668 (2002) - 2000
- [i1]Tanya Y. Berger-Wolf, Edward M. Reingold:
Index Assignment for Multichannel Communication under Failure. CoRR cs.DS/0011045 (2000)
1990 – 1999
- 1999
- [c1]Tanya Y. Berger-Wolf, Edward M. Reingold:
Optimal Multichannel Communication Under Failure. SODA 1999: 858-859
Coauthor Index
aka: Chainarong Amornbunchornvej
aka: Wanpracha Art Chaovalitwongse
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